rebin histograms in order to reach to compatibility with the bining of efficiency matrices(acc. matr. have different bining!!!)

again eff matrices have 0-360 phi range

these matrices are using reconstruct variable

smearing in filtered ntuple is ON

++ no conditions

mom: with ACC and EFF:

phi:

theta:

++ pt < 100

mom: pt < 100:

phi: pt < 100:

theta: pt < 100:

++ pt < 600

mom: pt < 600:

phi pt < 600:

theta pt < 600:

++ p > 50

mom: p > 50:

phi: p > 50:

theta: p > 50:

++ p > 50 && pt < 600

mom: p > 50 && pt < 600:

phi: p > 50 && pt < 600:

theta: p > 50 && pt < 600:

++ p > 100

mom: p > 100:

phi: p > 100:

theta: p > 100:

++ no conditions, only ACC && EFF filtered

* p vs pt, filtr:

p vs th, filtr:

th vs pt, filtr:

p vs pt, pat:

p vs th, pat:

th vs pt, pat:

(pR-pI)/pR:

(pR-pI)/pR zoom:

++ no conditions, ONLY ACC filtered, w/o efficiency

mom:

PAT draw from /lustre/hades/user/beatam/Embedding/out_ntupleMianownik/be06130200015_eff_ntuple_ep.root and /lustre/hades/user/beatam/Embedding/out_ntupleMianownik_z1/be06130200015_eff_ntuple_ep_1.root without conditions (isBest==1)&&(ep_sim_iscommon>=76)&&(ep_sim_parentid==-1)

x smearing histograms for momentum(without any limits), theta, phi takes as reconstructed_parameter - ideal_parameter. Smearing is based on the sampling of the value from these histograms, which is subtracted from real value taken from simulation. Procedure: